iPhone 12 Pro
Geekbench AI Score
2452
Single Precision Score
4418
Half Precision Score
3648
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | crypt3r |
| Upload Date | November 07 2025 10:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1194
222.0 IPS |
|
|
Image Classification (HP)
|
100% |
2017
375.2 IPS |
|
|
Image Classification (Q)
|
96% |
1443
269.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1052
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1996
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4394
5.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
9256
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
8404
9.85 IPS |
|
|
Object Detection (SP)
|
100% |
1100
87.2 IPS |
|
|
Object Detection (HP)
|
97% |
2055
163.6 IPS |
|
|
Object Detection (Q)
|
94% |
1474
117.5 IPS |
|
|
Face Detection (SP)
|
100% |
2334
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
4327
51.4 IPS |
|
|
Face Detection (Q)
|
100% |
2435
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4223
32.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8335
64.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
5845
45.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11288
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20106
25.8 IPS |
|
|
Style Transfer (Q)
|
96% |
17091
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2302
85.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3958
146.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2973
109.8 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3867
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3852
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2205
38.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4179
72.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4210
72.7 IPS |
